An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis

The endoscopic features associated with eosinophilic esophagitis (EoE) may be missed during routine endoscopy. We aimed to develop and evaluate an Artificial Intelligence (AI) algorithm for detecting and quantifying the endoscopic features of EoE in white light images, supplemented by the EoE Endosc...

Descripción completa

Detalles Bibliográficos
Autores principales: Römmele, Christoph, Mendel, Robert, Barrett, Caroline, Kiesl, Hans, Rauber, David, Rückert, Tobias, Kraus, Lisa, Heinkele, Jakob, Dhillon, Christine, Grosser, Bianca, Prinz, Friederike, Wanzl, Julia, Fleischmann, Carola, Nagl, Sandra, Schnoy, Elisabeth, Schlottmann, Jakob, Dellon, Evan S., Messmann, Helmut, Palm, Christoph, Ebigbo, Alanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249895/
https://www.ncbi.nlm.nih.gov/pubmed/35778456
http://dx.doi.org/10.1038/s41598-022-14605-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249895/
https://www.ncbi.nlm.nih.gov/pubmed/35778456
http://dx.doi.org/10.1038/s41598-022-14605-z

Ejemplares similares